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In this paper, an evolutionary algorithm is introduced for the NP-hard multi-criteria no-wait flow shop scheduling problems. Both makespan and total flowtime are taken into account. The proposed algorithm makes use of non-dominated sorting strategy. Corresponding objective increment properties are analyzed to improve efficiency for searching Pareto solutions. Experimental results show that the proposal...
The following topics are dealt with: agents and distributed AI; AI in logistics and supply chain management; constraint satisfaction; data mining; evolutionary computation; knowledge representation; machine learning; neural networks and kernel machines; planning and scheduling; reasoning; and computer vision
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